Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
Published Date: Feb 5, 2025

Abstract

BACKGROUND: Alzheimer disease (AD) is a progressive condition characterized by cognitive decline and memory loss. Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD.

Authors

  • Vivens Mubonanyikuzo
    College of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Hongjie Yan
    Department of Neurology, Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China.
  • Temitope Emmanuel Komolafe
    School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China.
  • Liang Zhou
    Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China. liang.zhou@fdeent.org.
  • Tao Wu
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China.
  • Nizhuan Wang

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